Training content, documentation, technical papers, case studies, and recorded office hours

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Training content and documentation

DFIT Interpretation Course, SAGA Wisdom

This course covers the DFIT interpretation procedure from the paper URTeC-2019-123. The procedure was developed as part of a collaborative industry study sponsored by a group of six operators and one service company. It is the latest course offered by SAGA Wisdom,available to SAGA Wisdom subscribers.

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Technical papers and case studies

Sealed Wellbore Pressure Monitoring (SWPM) and Calibrated Fracture Modeling: The Next Step in Unconventional Completions Optimization

Well Data Labs and ResFrac collaborated with Devon Energy is demonstrate an automated workflow for calibrating ResFrac models to Sealed Wellbore Pressure Monitoring (SWPM) data from HFTS 1 Phase 3 refrac project in the Eagle Ford. The workflow we followed was the same as that in our blog post tutorial on using Volume to First Responses (VFRs) from SWPM.

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Adding a fourth dimension: Optimizing for heat recovery

ResFrac lends itself particularly well to the optimization of hydraulically stimulated geothermal wells. ResFrac not only computes fracturing and reservoir flow simultaneously, but also calculates thermal stress changes and supercritical fluid properties. Fowler and McClure (2021) evaluate three geothermal designs: a closed-loop, a closed-loop with thermally conductive fractures, and an open-loop multi-lateral.

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Modeling unlocked 60% improvement in NPV

HFTS 2 is one of the highly measured hydraulic fracturing pads in the world. In 2021, the HFTS 2 consortia and ResFrac collaborated on a modeling study to incorporate all the advanced diagnostics in HFTS 2 into a single, comprehensive model. This model was then employed in an automated optimization workflow to assess opportunities to improve NPV by adjusting well spacing, proppant loading, fluid loading, cluster spacing, and landing zone. Pudugramam et al. presented the ResFrac model calibration and optimization in URTeC 3723620 in 2022, showing a 60% possible improvement in NPV by optimization of well placement and completion design.

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Office hours recordings

Proppant distribution between perforation clusters

This presentation discusses a model to simulate the behavior of particle-laden slurry in a horizontal perforated wellbore with the goal of quantifying particle distribution between perforations. There are two primary phenomena that influence the result. The first one is the non-uniform particle distribution within the wellbore’s cross-section and how it changes along the flow. The second phenomenon is related to the ability of particles to turn from the wellbore to a perforation. Mathematical model for each sub-problem is developed and calibrated independently against available data. Results of simulations for the multi-cluster geometry also agree well with the available laboratory and field scale experiments. The importance of the developed model can be summarized as follows. First of all, it allows to better understand the physical processes occurring in the wellbore, which in turn helps understanding sensitivities to problem parameters. Then, the model can be used to create perforation designs leading to nearly uniform proppant distribution between clusters. Finally, it can be (and will be) integrated into ResFrac to investigate the overall effect of the aforementioned non-uniform proppant distribution on the overall treatment efficiency.

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